Speech AI Engineering
406 open positions
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AIML - Machine Learning Engineer, Foundation Models AppleSeattle, United States of America 1y Design and implement scalable, reliable, high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains, optimized for Apple silicon and on-device intelligence.
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Senior Machine Learning Engineer - NLP (Bangalore/Noida Location) Level AINoida 1y Build and deploy scalable production NLP pipelines and optimize machine learning models for voice agents, agentic applications, and text analysis using Large Language Models.
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AI Engineer (Transcribe) Assurity-Trusted-SolutionsRemote 1y Build and deploy speech-to-text and text analytics platforms for government agencies to transform conversations into insights.
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Datascientist ClusterlabRemote 1y Building and fine-tuning voice-related models from scratch including speech-to-text, speaker diarization, audio classification, and LLM-integrated speech systems.
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Machine Learning Engineer G-ResearchLondon, UK 1y Implementing ideas from research papers, writing custom libraries for training on petabytes of data, and optimizing ML operations to drive advances in quantitative research.
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Machine Learning Engineer QuincusToronto 2y Design and implement scalable systems for serving deep learning and reinforcement learning models, optimizing inference performance, and managing production workflows.
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Software Engineer - Model Performance BasetenSan Francisco 2y Backend engineer optimizing ML model inference performance and infrastructure for LLMs.
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混元LLM大模型量化压缩高级算法工程师（北京/深圳/上海） TencentShenzhen, China Research and develop LLM compression and acceleration algorithms to optimize inference performance and reduce model size.
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Data Ops Engineer
ScribieRemote
Manage and version high-quality datasets for training and evaluating speech/AI models, building ETL pipelines and ensuring data quality.
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Founding Voice AI Engineer (Part-time, potential path to Chief AI Officer) NameCoach • San Francisco • Remote (Work from Home)Onsite or remote • San Francisco+1 Build AI systems for pronunciation intelligence, including fine-tuning G2P models, developing validation pipelines, and creating context-aware ranking systems for the Namecoach product.
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Senior ML Engineer TinyFishUnited States, Palo Alto, CA Design, train, and deploy scalable generative, classification, and regression models to power TinyFish's core products.
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Senior ML Engineer, Applied Science StimulerIndia, Bengaluru, India Train models for realtime English conversational skills improvement, including personalized exercise recommendations, accent-sensitive ASRs, and empathy-driven role-play.
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AI/ML Engineer Belva AIBellevue, WA Design and develop core AI/ML solutions and robust software applications for a telecommunications company, focusing on NLP, machine translation, and text-to-speech.
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AI/ML Engineer
EvonaireRemote
Build AI/ML services, APIs, and voice/audio processing pipelines for a neuroprivacy-first emotional technology platform.
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About the job SK Group경기도 분당 Develop domain-specific sLLMs and VLMs, build and operate fine-tuning pipelines and serving systems, and optimize inference performance.
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Recommendation Architecture AI/ML Infrastructure Engineer Intern (Data-Arch-TikTok Live) - 2027 Summer TikTokSan Jose, United States of America Build and optimize distributed training and inference systems for large-scale recommendation models and LLMs.
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Machine Learning Engineer - Agentic solutions that move the music industry DiscoveryRemote Build real-time ML systems to weaponize messy music rights data into structured intelligence for royalties recovery and IP registration.
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音频算法工程师-抖音直播 ByteDance北京 Building low-latency audio understanding and generation models for real-time dialogue agents in Douyin live streaming, covering ASR, TTS, end-to-end speech large models, and audio classification.
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Founding Engineer - Machine Learning Deccan AIMountain View, CA Build and scale core machine learning systems from the ground up, designing, training, and shipping production-grade ML models.
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ML Engineer, Remote - Contract Xperteez TechnologyRemote $0k–$0k Develop, validate, and optimize machine-learning models, training pipelines, inference systems, and supporting infrastructure for an AI training project.
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